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UX Case Study 🤖 AI & Machine Learning

Automating Court Transcripts: Deploying Offline AI Under Strict Government Privacy Laws.

Third-party contractors were strained, causing massive delays in transcript access. I designed and developed a secure, fully offline A.I. Transcriber to generate same-day "dirty transcripts"—reducing staff workload and opening a direct revenue stream for the courts.

Role UX Designer
& Developer
Timeline May 2024 -
June 2025
Tools
Python WhisperX Figma
Constraint 100% Offline (No Cloud)

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AI Transcriber App Prototype

The Problem vs. The Solution

By juxtaposing the strict privacy constraints of government infrastructure against our offline NLP solution, we unlocked massive efficiency gains and a completely new revenue stream.

⚠️
Before

The Transcription Backlog

Courtrooms without real-time transcription faced severe delays. Third-party dependency was high, and strict security laws made modern AI tools unusable.

Third-Party Delays
Strained external contractors manually transcribed audio after court sessions, causing error-prone delays of several days to weeks.
🔒
Strict Cloud Restrictions
Due to severe government security and privacy policies, existing commercial cloud-based AI tools (like standard ChatGPT) were strictly prohibited.
📉
No Internal Capabilities
With no first-party transcription services provided by the courts, operational costs soared and clients waited indefinitely for preliminary data.
After

Offline AI Automation

A custom, offline machine learning application built to seamlessly integrate with clerk workflows and securely generate transcripts within hours.

🛡️
1. Secure Offline Pipeline
Built a Python-based app using WhisperX with fully offline language models to guarantee 100% compliance with local infrastructure.
🗣️
2. Speaker Diarization
Integrated advanced machine learning to automatically differentiate and label multiple speakers in chaotic court recordings.
💰
3. Same-Day Delivery & Revenue
Outputs a time-accurate 'dirty transcript' within hours, creating a direct monetization path for the government without hiring more staff.

The Agile Evolution

This interactive component highlights the UX progression from discovery to a polished GUI roadmap. Utilizing tabs reduces vertical scrolling and organizes the complex technical workflows seamlessly.

Identifying the true constraints.

Conducted interviews with court clerks and transcription staff to understand pain points. We identified that the tool needed to be fast, highly accurate, require minimal setup, and most importantly, operate 100% offline to pass governance.

  • Mapped stakeholder personas & goals
  • Established absolute security constraints
  • Sketched low-fidelity UI wireframes in Figma
Wireframe 1
Wireframe Concept
Wireframe 2
Wireframe Concept 2
Wireframe 3
Wireframe Concept 3
The Goal
Logic Goal

Under The Hood

Discover the technical methodology behind running advanced machine learning in a highly restricted, secure offline environment.

✨ Gemini AI Integration

AI Tech Explainer

Curious about how WhisperX and local diarization actually work offline? Select your technical background below, and my AI will dynamically generate a custom explanation of the NLP architecture.

The Business Impact

By embracing a highly secure, offline-first approach, we reduced reliance on costly vendors, increased trust from executive stakeholders, and created a scalable monetization model.

0%
Faster Delivery
Hours instead of weeks
0%
Security Compliance
Zero cloud data transmission
+0
New Revenue Stream
Direct client monetization

Transcription Turnaround Time

Days required to generate a preliminary transcript.

Available for Work

Let's build something impactful.

I'm currently open to new opportunities in UX/UI Design, Product Design, and GovTech transformation roles. If you have a legacy nightmare that needs solving, I'd love to chat.